Publication data of Zhou, Kai: Link to Inspire

Created with Highcharts 9.0.1CitationsCitationsw/o self-citaionself-citaion201020122014201620182020202220240500100015002000
Created with Highcharts 9.0.1Publicationspublications per yearPublicationsPublications per yearCumulative publications20102012201420162018202020222024020406080100048121620
Created with Highcharts 9.0.1h-indexh-indexh-indexh-index w/o self-citaion20102012201420162018202020222024051015202530
Created with Highcharts 9.0.1CitationsBreakdown of Most Cited PapersrestRethinking the ill-posedness of the spectral function reconstruction — Why is it fundamentally hard and how Artificial Neural Networks can helpRethinking the ill-posedness of the spectral function reconstruction — Why is…Thermal Charm and Charmonium Production in Quark Gluon PlasmaUnsupervised Outlier Detection in Heavy-Ion CollisionsReconstructing the neutron star equation of state from observational data via automatic differentiationReconstructing the neutron star equation of state from observational data vi…Nonequilibrium photon production in partonic transport simulationsA fast centrality-meter for heavy-ion collisions at the CBM experimentNeural network reconstruction of the dense matter equation of state from neutron star observablesNeural network reconstruction of the dense matter equation of state from ne…QCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of Heavy-Ion Collision DataQCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of H…Thermalization of gluons with Bose-Einstein condensationContinuum-extrapolated NNLO valence PDF of the pion at the physical pointA machine learning study to identify spinodal clumping in high energy nuclear collisionsA machine learning study to identify spinodal clumping in high energy nucle…High-energy nuclear physics meets machine learningHeavy quark potential in the quark-gluon plasma: Deep neural network meets lattice quantum chromodynamicsHeavy quark potential in the quark-gluon plasma: Deep neural network meet…Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learningIdentifying the nature of the QCD transition in relativistic collision of heavy n…Exploring QCD matter in extreme conditions with Machine LearningRegressive and generative neural networks for scalar field theoryHeavy flavors under extreme conditions in high energy nuclear collisionsAn equation-of-state-meter of quantum chromodynamics transition from deep learningAn equation-of-state-meter of quantum chromodynamics transition from dee…Medium effects on charmonium production at ultrarelativistic energies available at the CERN Large Hadron ColliderMedium effects on charmonium production at ultrarelativistic energies availa…201020122014201620182020202220240500100015002000
Created with Highcharts 9.0.1Fraction [%]Breakdown of Most Cited Papers (Fraction)Rethinking the ill-posedness of the spectral function reconstruction — Why is it fundamentally hard and how Artificial Neural Networks can helpRethinking the ill-posedness of the spectral function reconstruction — Why is…Thermal Charm and Charmonium Production in Quark Gluon PlasmaUnsupervised Outlier Detection in Heavy-Ion CollisionsReconstructing the neutron star equation of state from observational data via automatic differentiationReconstructing the neutron star equation of state from observational data vi…Nonequilibrium photon production in partonic transport simulationsA fast centrality-meter for heavy-ion collisions at the CBM experimentNeural network reconstruction of the dense matter equation of state from neutron star observablesNeural network reconstruction of the dense matter equation of state from ne…QCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of Heavy-Ion Collision DataQCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of H…Thermalization of gluons with Bose-Einstein condensationContinuum-extrapolated NNLO valence PDF of the pion at the physical pointA machine learning study to identify spinodal clumping in high energy nuclear collisionsA machine learning study to identify spinodal clumping in high energy nucle…High-energy nuclear physics meets machine learningHeavy quark potential in the quark-gluon plasma: Deep neural network meets lattice quantum chromodynamicsHeavy quark potential in the quark-gluon plasma: Deep neural network meet…Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learningIdentifying the nature of the QCD transition in relativistic collision of heavy n…Exploring QCD matter in extreme conditions with Machine LearningRegressive and generative neural networks for scalar field theoryHeavy flavors under extreme conditions in high energy nuclear collisionsAn equation-of-state-meter of quantum chromodynamics transition from deep learningAn equation-of-state-meter of quantum chromodynamics transition from dee…Medium effects on charmonium production at ultrarelativistic energies available at the CERN Large Hadron ColliderMedium effects on charmonium production at ultrarelativistic energies availa…201020122014201620182020202220240255075100
Created with Highcharts 9.0.1Citations/1 YearCitations/PeriodCitations / 1 YearMoving average201020122014201620182020202220240100200300400500600